World Models: The Technical Foundation Behind AI Video Generation
From cognitive science mental simulators to Sora's video generation, world models represent AI's ability to predict and simulate reality—the core technology powering synthetic media.
Memory Injections: The Next Evolution Beyond RAG for AI
RAG has limitations. Memory injection techniques offer AI assistants persistent, contextual memory that transforms how they understand and respond to users over time.
UC Deepfake Threats: 3 Enterprise Attack Vectors Exposed
Enterprise unified communications face growing deepfake threats from voice cloning fraud to video impersonation. Examining three critical attack vectors targeting business communications infrastructure.
OpenPlanter: Open Source Recursive AI Agent for Surveillance
OpenPlanter brings Palantir-style recursive AI agent capabilities to the open-source community, enabling micro surveillance use cases with transparent, auditable AI systems.
Supervisor Agents: Orchestrating Multi-Agent AI Systems
Learn how supervisor agents coordinate specialized AI workers in multi-agent systems. This guide covers architectural patterns, LangGraph implementation, and practical orchestration strategies.
How to Build Self-Improving AI Agents Using Langfuse
Learn how to create AI support agents that continuously improve through feedback loops using Langfuse observability. A technical guide to building autonomous systems that learn from interactions.
Building Transparent AI Agents with Audit Trails and Human Gates
Technical guide to implementing traceable AI decision-making with comprehensive audit logging and human oversight checkpoints for accountable autonomous systems.
OpenClaw Exposes Critical Prompt Injection Flaw in AI Agents
Security researchers demonstrate how hidden prompt injections in code repositories can hijack AI coding agents like Cline, exposing critical vulnerabilities in agentic AI systems.
4 AI Safety Alignment Methods: Building Trustworthy AI Systems
From RLHF to Constitutional AI, these four technical approaches aim to prevent AI systems from lying, manipulating, or causing harm—critical foundations for trustworthy synthetic media.
VAEs Explained: The Hidden Engine Powering Modern AI Video
Variational Autoencoders compress reality into mathematical latent spaces, enabling everything from Stable Diffusion to AI video generation. Here's how the Bayesian math actually works.
Self-Generated Examples Boost LLM Reasoning Performance
New research reveals that LLMs reason better using their own examples rather than human-provided ones, suggesting the process of generation matters more than example quality.
Survey: How Narrative Theory Shapes LLM Story Generation
New survey examines how classical narrative frameworks are being integrated with large language models to improve automatic story generation and comprehension capabilities.